9843 Machine Learning Jobs - Page 33

About The Role: We are looking for a high-energy tech-savvy individual for the role of Senior AI Engineer- GenAI at Eucloid. The candidate will solve complex problems, picking up new technologies and working at the cutting edge of innovation. The candidate is expected to lead following work-streams: Develop and optimize Python applications for AI-driven products Build and integrate LLM-based applications with structured and unstructured data Work with large datasets, AI pipelines, and model inference APIs Collaborate with AI researchers and engineers to translate ideas into production-ready solutions Stay ahead of emerging AI technologies and contribute to continuous innovation Ideal candidate will have following Background and Skills: Undergraduate Degree in any quantitative discipline such as engineering, science or economics from a Top-Tier institution. 5+ years of experience in Python-based product development Strong foundation in data structures, algorithms, and system design Proven problem-solving ability you love tackling complex technical challenges Hands-on experience with APIs, backend development, and cloud platforms (AWS/GCP/Azure) Experience in AI, ML, or NLP is a bonus, but a strong aptitude to learn AI frameworks quickly is what matters most Exposure to LangChain, OpenAI APIs, or vector databases (advantageous, but not mandatory) The role offers a very attractive compensation (Base + Bonus) and is based out of Gurugram. Please reach out to chandershekhar.verma@eucloid.com if you want to apply .

CRISIL is looking for AI and ML - Associate Director, Corporate Technology to join our dynamic team and embark on a rewarding career journey Collaborate with cross-functional teams to achieve strategic outcomes Apply subject expertise to support operations, planning, and decision-making Utilize tools, analytics, or platforms relevant to the job domain Ensure compliance with policies while improving efficiency and outcomes

Macgence is a leading AI training data company at the forefront of providing exceptional human-in-the-loop solutions to make AI better. We specialize in offering fully managed AI/ML data solutions, catering to the evolving needs of businesses across industries. With a strong commitment to responsibility and sincerity, we have established ourselves as a trusted partner for organizations seeking advanced automation solutions. Fueled by our human expertise, our team has executed projects enabling cutting-edge technology that has revolutionized automation in many sectors. We do this by harnessing the power of human-generated AI and ML thus facilitating seamless global business automation and enhancing efficiency and productivity. At Macgence, we are committed to providing our customers with high quality, timely solutions that address their specific needs and challenges. We understand the crucial role of accurate, reliable human-generated data in driving AI and ML systems. As a result, we leverage our expertise to curate high-quality ~ 95%+ accuracy datasets . These datasets fuel innovation and deliver tangible results. Partnering with Macgence means gaining a trusted ally in your journey towards leveraging the power of AI and ML. We are dedicated to empowering businesses, optimizing processes, and driving growth through our innovative data solutions. Job Overview: We are looking for a dedicated and detail-oriented individual to join our team as a Medical Annotation Specialist. In this role, you will play a critical part in the development of machine learning algorithms for medical imaging analysis and healthcare applications. Your primary responsibility will be to annotate medical images and data accurately to support the training and validation of AI models for diagnosis, treatment planning, and research purposes. Key Responsibilities: Annotate medical images such as X-rays, CT scans, MRI scans, histopathology slides, and other modalities with annotations including anatomical structures, abnormalities, and clinical findings. Follow established annotation guidelines and protocols to ensure consistency and accuracy in the annotated datasets. Utilize annotation tools and software to perform tasks efficiently while maintaining high-quality annotations. Collaborate closely with radiologists, pathologists, clinicians, and other healthcare professionals to understand annotation requirements and clinical context. Verify and validate annotations to ensure they meet quality standards and are suitable for training machine learning models. Keep detailed records of annotation tasks, including documentation of annotation guidelines, specifications, and any issues encountered. Provide feedback and suggestions for improving annotation workflows, tools, and processes. Stay updated on developments in medical imaging technology, AI in healthcare, and annotation methodologies. Qualifications: Bachelor s degree in a relevant field such as Biology, Bioinformatics, Biomedical Engineering, Computer Science, or a related discipline. Advanced degrees are a plus. Strong understanding of medical imaging modalities, anatomy, and pathology. Familiarity with medical terminology, clinical concepts, and healthcare practices. Proficiency in using annotation tools and software for medical image annotation. Excellent attention to detail and ability to maintain accuracy while working with complex medical data. Effective communication skills with the ability to collaborate with multidisciplinary teams and healthcare professionals. Ability to work independently, manage time effectively, and meet project deadlines. Previous experience in medical imaging, healthcare, or data annotation is preferred but not required. Why Join Us: Opportunity to contribute to the advancement of medical technology and improve patient care through AI-driven solutions. Collaborative and supportive work environment with opportunities for professional growth and development. Competitive compensation and benefits package. Make a meaningful impact on healthcare outcomes and medical research with your annotation expertise. If you are passionate about healthcare, medical imaging, and leveraging AI to address healthcare challenges, we encourage you to apply for the position of Medical Annotation Specialist and join our dedicated team. For more enquiry: https: / / www.linkedin.com / company / macgence / Job Category: operations Job Type: Full Time Job Location: noida

Chief Technology Officer (CTO) - AI SaaS Startup (Equity Partner) Location: Gurugram, India Equity: 15-30% (based on investment and contribution) Compensation: No fixed salary until first investment round Commitment: Full-time, 18+ hours/day with CEO Industry: AI SaaS / HRTech About the Role We are seeking a highly energetic, hands-on CTO to co-found and lead the technology vision for a next-generation AI SaaS product in HRTech. You will invest in the company, work closely with the CEO, and build, lead, and inspire a high-performance team. This is a ground-floor opportunity to shape both the product and the company, with significant equity and leadership responsibility. Key Responsibilities Architect, build, and scale a robust, secure, and innovative AI SaaS platform from the ground up, making foundational decisions on stack, infrastructure, and product direction Code and review in Node.js, React.js, Next.js, Python, and AI/ML frameworks; integrate AI and machine learning features into the product Design and manage scalable solutions using MongoDB, AWS, or other cloud platforms; ensure data security, compliance, and high availability Lead the integration of advanced AI/ML models and APIs, driving automation and intelligence throughout the platform Hire, mentor, and manage a team of 10+ engineers and product managers; foster a culture of innovation, ownership, and high performance Work side-by-side with the CEO on vision, product-market fit, fundraising, and go-to-market strategy Thrive in a fast-paced, high-energy environment, balancing speed and scalability, MVP delivery, and long-term technical excellence Clearly communicate technology strategy and progress to investors, partners, and the broader team; represent the company at industry events Invest personal capital, drive results, and take real ownership of the tech roadmap and business outcomes Ideal Candidate Profile Proven experience building and scaling SaaS products; expert in Node.js, React.js, Next.js, Python, MongoDB, AWS/cloud, and AI/ML integration Hands-on with machine learning, AI APIs, and deploying intelligent features in production environments Willing to invest, work relentlessly (18+ hours/day), and own outcomes in a high-growth, high-uncertainty environment Strong track record in hiring, leading, and motivating engineering and product teams; able to set and maintain high standards Able to articulate technical vision to both technical and non-technical stakeholders IIT/IIM background is a strong plus Based in Gurugram and able to work onsite with the CEO and core team Deep passion for tech, AI, and building the future of HRTech What We Offer Significant equity (15-30%) in a high-potential AI SaaS startup Opportunity to be a true co-founder and shape the product, team, and company Direct influence on business and technology outcomes Platform to build and lead a world-class tech team from the ground up This is a rare opportunity for a visionary, hands-on leader ready to invest, build, and define the future of HRTech.

Macgence is a leading AI training data company at the forefront of providing exceptional human-in-the-loop solutions to make AI better. We specialize in offering fully managed AI/ML data solutions, catering to the evolving needs of businesses across industries. With a strong commitment to responsibility and sincerity, we have established ourselves as a trusted partner for organizations seeking advanced automation solutions. Fueled by our human expertise, our team has executed projects enabling cutting-edge technology that has revolutionized automation in many sectors. We do this by harnessing the power of human-generated AI and ML thus facilitating seamless global business automation and enhancing efficiency and productivity. At Macgence, we are committed to providing our customers with high quality, timely solutions that address their specific needs and challenges. We understand the crucial role of accurate, reliable human-generated data in driving AI and ML systems. As a result, we leverage our expertise to curate high-quality ~ 95%+ accuracy datasets. These datasets fuel innovation and deliver tangible results. Partnering with Macgence means gaining a trusted ally in your journey towards leveraging the power of AI and ML. We are dedicated to empowering businesses, optimizing processes, and driving growth through our innovative data solutions. Job Overview: We are seeking a meticulous and detail-oriented individual to join our team as a Data Annotator for Noida. As a Data Annotator, you will be responsible for labeling and annotating large volumes of data to support machine learning model training and development. Your role will be crucial in ensuring the accuracy and quality of the data used to train our AI systems. Location: Noida Key Responsibilities: Annotate and label various types of data according to specified guidelines and criteria. Review and verify annotations for accuracy and consistency. Collaborate with data scientists and engineers to understand annotation requirements and objectives. Maintain high levels of productivity and accuracy while meeting project deadlines. Identify and report any issues or discrepancies in the data annotation process. Continuously improve annotation processes and workflows to enhance efficiency and quality. Keep detailed records of annotated data and documentation of annotation guidelines. Communicate effectively with team members to ensure alignment on annotation tasks and project goals. Qualifications: Bachelor s degree in a relevant field such as Computer Science, Data Science, or a related discipline. Strong attention to detail and the ability to maintain accuracy while working with large datasets. Excellent organizational and time management skills to prioritize tasks effectively. Proficiency in using annotation tools and software is preferred. Basic understanding of machine learning concepts and terminology. Ability to work both independently and collaboratively in a team environment. Good communication skills with the ability to articulate ideas and provide clear explanations. Experience in data annotation or similar roles is a plus but not required. Why Join Us: Opportunity to work with cutting-edge technologies and contribute to the advancement of AI. A collaborative and supportive work environment where your contributions are valued. Continuous learning and professional development opportunities. Competitive salary and benefits package. If you are passionate about data and interested in playing a key role in shaping the future of AI, we encourage you to apply for the position of Data Annotator. For more enquiry: Job Category: operations Job Type: Full Time Job Location: noida

Macgence is a leading AI training data company at the forefront of providing exceptional human-in-the-loop solutions to make AI better. We specialize in offering fully managed AI/ML data solutions, catering to the evolving needs of businesses across industries. With a strong commitment to responsibility and sincerity, we have established ourselves as a trusted partner for organizations seeking advanced automation solutions. Fueled by our human expertise, our team has executed projects enabling cutting-edge technology that has revolutionized automation in many sectors. We do this by harnessing the power of human-generated AI and ML thus facilitating seamless global business automation and enhancing efficiency and productivity. At Macgence, we are committed to providing our customers with high-quality, timely solutions that address their specific needs and challenges. We understand the crucial role of accurate, reliable human-generated data in driving AI and ML systems. As a result, we leverage our expertise to curate high-quality ~ 95%+ accuracy datasets. These datasets fuel innovation and deliver tangible results. Partnering with Macgence means gaining a trusted ally in your journey towards leveraging the power of AI and ML. We are dedicated to empowering businesses, optimizing processes, and driving growth through our innovative data solutions. Job Overview: We are seeking a skilled and detail-oriented individual to join our team as a Radiologist Annotator. In this role, you will be responsible for analyzing medical images and providing accurate annotations to support the development of machine-learning algorithms for medical diagnosis and treatment planning. Key Responsibilities: Analyze medical images such as X-rays, CT scans, MRI scans, and ultrasounds to identify relevant anatomical structures and abnormalities. Accurately annotate and label medical images with information such as lesion boundaries, anatomical landmarks, and diagnostic findings. Follow established protocols and guidelines for image annotation to ensure consistency and quality. Collaborate with radiologists, data scientists, and engineers to understand annotation requirements and project objectives. Review annotated images to ensure accuracy and completeness, making adjustments as necessary. Maintain detailed documentation of annotation procedures and guidelines. Assist in the development and refinement of annotation tools and workflows to improve efficiency and productivity. Keep abreast of developments in medical imaging technology and participate in training programs to enhance annotation skills. Qualifications: Medical degree (MD or equivalent) with specialization in radiology. Board certification or eligibility in radiology. Strong understanding of medical imaging modalities and anatomy. Experience interpreting and analyzing medical images in a clinical setting. Proficiency in using medical imaging software and tools for image analysis and annotation. Excellent attention to detail and ability to maintain accuracy in image annotation. Effective communication skills with the ability to collaborate with multidisciplinary teams. Ability to work independently and manage time effectively to meet project deadlines. Familiarity with machine learning concepts and applications in medical imaging is a plus. Why Join Us: Opportunity to contribute to developing innovative AI solutions for medical diagnosis and treatment. A collaborative and supportive work environment with opportunities for professional growth and development. Competitive salary and benefits package. Make a meaningful impact on patient care and healthcare outcomes through cutting-edge technology. If you are a motivated and dedicated radiologist with a passion for medical imaging and technology, we invite you to apply for the position of Radiologist Annotator and be part of our dynamic team. For more enquiry: https: / / www.linkedin.com / company / macgence / Job Category: operations Job Type: Full Time Job Location: noida

Macgence is a leading AI training data company at the forefront of providing exceptional human-in-the-loop solutions to make AI better. We specialize in offering fully managed AI/ML data solutions, catering to the evolving needs of businesses across industries. With a strong commitment to responsibility and sincerity, we have established ourselves as a trusted partner for organizations seeking advanced automation solutions. Fueled by our human expertise, our team has executed projects enabling cutting-edge technology that has revolutionized automation in many sectors. We do this by harnessing the power of human-generated AI and ML thus facilitating seamless global business automation and enhancing efficiency and productivity. At Macgence, we are committed to providing our customers with high quality, timely solutions that address their specific needs and challenges. We understand the crucial role of accurate, reliable human-generated data in driving AI and ML systems. As a result, we leverage our expertise to curate high-quality ~ 95%+ accuracy datasets. These datasets fuel innovation and deliver tangible results. Partnering with Macgence means gaining a trusted ally in your journey towards leveraging the power of AI and ML. We are dedicated to empowering businesses, optimizing processes, and driving growth through our innovative data solutions. Job Overview: We are seeking a meticulous and detail-oriented individual to join our team as a Data Annotator. As a Data Annotator, you will be responsible for labeling and annotating large volumes of data to support machine learning model training and development. Your role will be crucial in ensuring the accuracy and quality of the data used to train our AI systems. Key Responsibilities: Annotate and label various types of data according to specified guidelines and criteria. Review and verify annotations for accuracy and consistency. Collaborate with data scientists and engineers to understand annotation requirements and objectives. Maintain high levels of productivity and accuracy while meeting project deadlines. Identify and report any issues or discrepancies in the data annotation process. Continuously improve annotation processes and workflows to enhance efficiency and quality. Keep detailed records of annotated data and documentation of annotation guidelines. Communicate effectively with team members to ensure alignment on annotation tasks and project goals. Qualifications: Bachelor s degree in a relevant field such as Computer Science, Data Science, or a related discipline. Strong attention to detail and the ability to maintain accuracy while working with large datasets. Excellent organizational and time management skills to prioritize tasks effectively. Proficiency in using annotation tools and software is preferred. Basic understanding of machine learning concepts and terminology. Ability to work both independently and collaboratively in a team environment. Good communication skills with the ability to articulate ideas and provide clear explanations. Experience in data annotation or similar roles is a plus but not required. Why Join Us: Opportunity to work with cutting-edge technologies and contribute to the advancement of AI. Collaborative and supportive work environment where your contributions are valued. Continuous learning and professional development opportunities. Competitive salary and benefits package. If you are passionate about data and interested in playing a key role in shaping the future of AI, we encourage you to apply for the position of Data Annotator. For more enquiry:

Macgence is a leading AI training data company at the forefront of providing exceptional human-in-the-loop solutions to make AI better. We specialize in offering fully managed AI/ML data solutions, catering to the evolving needs of businesses across industries. With a strong commitment to responsibility and sincerity, we have established ourselves as a trusted partner for organizations seeking advanced automation solutions. Fueled by our human expertise, our team has executed projects enabling cutting-edge technology that has revolutionized automation in many sectors. We do this by harnessing the power of human-generated AI and ML thus facilitating seamless global business automation and enhancing efficiency and productivity. At Macgence, we are committed to providing our customers with high quality, timely solutions that address their specific needs and challenges. We understand the crucial role of accurate, reliable human-generated data in driving AI and ML systems. As a result, we leverage our expertise to curate high-quality ~ 95%+ accuracy datasets. These datasets fuel innovation and deliver tangible results. Partnering with Macgence means gaining a trusted ally in your journey towards leveraging the power of AI and ML. We are dedicated to empowering businesses, optimizing processes, and driving growth through our innovative data solutions. Job Overview: We are seeking a skilled and detail-oriented individual to join our team as an Annotation Specialist specializing in 2D, 3D, and LiDAR data. In this role, you will play a crucial part in the development of autonomous driving systems and other computer vision applications by accurately annotating and labeling various types of sensor data. Your work will contribute directly to the training and validation of machine learning algorithms for object detection, localization, and tracking. Key Responsibilities: Annotate and label 2D images, 3D point clouds, and LiDAR data to identify and outline objects of interest such as vehicles, pedestrians, cyclists, and road infrastructure. Follow annotation guidelines and specifications to ensure consistency and accuracy across annotated datasets. Work with a variety of annotation tools and software to perform tasks efficiently and effectively. Verify and validate annotations to maintain high data quality and reliability. Collaborate with data scientists, engineers, and researchers to understand annotation requirements and project objectives. Provide feedback and suggestions for improving annotation tools, workflows, and processes. Keep detailed records of annotation tasks, including documentation of annotation guidelines, specifications, and any issues encountered. Stay updated on advances in computer vision and sensor technology relevant to annotation tasks. Qualifications: Strong understanding of 2D and 3D geometry, spatial data , and coordinate systems. Familiarity with LiDAR technology, point cloud processing, and sensor fusion techniques. Proficiency in using annotation tools and software for 2D image annotation (e.g., bounding boxes, polygons), 3D point cloud annotation, and LiDAR annotation. Excellent attention to detail and ability to maintain accuracy while working with large datasets. Effective communication skills with the ability to collaborate with multidisciplinary teams. Ability to work independently and manage time effectively to meet project deadlines. Bachelor s degree in Computer Science, Engineering, Mathematics, or a related field is preferred but not required. Previous experience in data annotation, computer vision, or related fields is a plus. Why Join Us: Opportunity to work on cutting-edge projects at the forefront of autonomous driving and computer vision technology. Collaborative and supportive work environment with opportunities for professional growth and development. Competitive compensation and benefits package. Make a significant impact on the development of AI systems with real-world applications. If you are passionate about computer vision, sensor data, and contributing to the advancement of autonomous systems, we encourage you to apply for the position of Annotation Specialist (2D, 3D, LiDAR) and become part of our innovative team. For more enquiry: Job Category: operations Job Type: Full Time Job Location: noida

Job Summary What do you need to know about the role As a technical lead in PayPal s AI/ML platform team, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments. With a proven track record in technical leadership, youll be instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively leading and mentoring team members. Meet your team We are on a mission to revolutionize commerce globally by developing unique, best-of-breed fraud detection solutions. AI and Machine Learning are key competitive advantages at PayPal, significantly reducing payment risk loss, bringing millions of dollars in revenue, and enhancing the user experience. We are seeking a highly motivated, self-starter ML Engineer to join our AI/ML Engineering team to help achieve this mission. This role will help shape the next generation of checkout at PayPal impacting over 400+ million consumers and 30+ million merchants worldwide by creating AI/ML foundations and capabilities that deliver a delightful and personalized shopping and checkout experience. Job Description Your way to impact The ideal candidate is excellent in problem solving, strategic & analytical in decision making and laser-focused on executing at scale You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success Your role will involve leveraging your technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments With a proven track record in technical execution, youll be instrumental in driving high-quality products and ensuring the successful delivery of projects Your day-to-day Design and deploy scalable traditional and generative AI solutions and productize ML models that enhance PayPals ability to provide a seamless customer experience Work with data scientists and backend engineers to solve complex problems with AI/ML. Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices. Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform. Highly effective at working in cross-functional groups and getting results in matrix organizations Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning. What do you need to bring 5-8 Years of experience Masters / bachelor s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience. Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models. Stay up-to-date with the latest advancements in AI/ML technology and industry trends, and leverage this knowledge to build enhanced capabilities. Expert in multiple Programming/scripting languages, i.e. Python, Java, Scala and GCP Offerings (BQ, Data Proc and Big Table) Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka. Proficiency in SQL, ETL, database design Good understanding of NoSQL database like HBase, Redis, Aerospike. Good understanding of distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs. Expertise in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in GCP is a plus Experience on front end/web development technology Experience on agile methodology Stay up to date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to enhance the platforms capabilities Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner **We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please dont hesitate to apply. Preferred Qualification Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Join us as a Model Risk Validation Officer This This is an opportunity for a passionate and driven quantitative risk specialist to join an evolving area of risk management We ll look to you to review and validate various communication and trade surveillance models for NatWest Markets business Its an ideal role to gain detailed exposure to the developing world of model risk, as well as to a range of stakeholders and senior executives Were offering this role at vice president level What youll do As a Model Risk Validation Officer, you will provide oversight of the organisations data-driven models through data analytics and model reviews. By conducting thorough quantitative analysis, you ll assess their performance and robustness.Youll be undertaking analysis, ensuring that all sources of model risks are adequately highlighted as well as assessing the models compliance with regulations, internal policies, and standards. Your responsibilities will also include: Performing sensitivity analysis to assess the adequacy of modelling or data assumptions, documenting all the analysis in a succinct and clear manner Undertaking in-depth assessments of the models subcomponents, making sure models are fit for purpose for their designated use Preparing checklists for various validation activity to make sure that appropriate controls are established and consistently followed Providing expert advice on aspects of risk management, including providing senior executives with relevant MI and reports The skills youll need We re looking for you to have a quantitative degree, such as computer science, mathematics, statistics, or physics and experience of developing, reviewing, validating, and implementing analytical solutions or risk measurement tools. You ll need prior experience in Trade Surveillance in either a first line or second line role and know how to evaluate different machine learning models and their performance using techniques like cross-validation and performance metrics. You ll also have familiarity with algorithms commonly used in surveillance, such as classification algorithms including Decision Trees and SVMs. You ll also demonstrate Knowledge Proficiency in data manipulation and analysis using tools like Python Awareness of the regulations and compliance requirements surrounding model risk including SS 1/23 and trade surveillance Experience in writing and proof-reading papers of sufficient quality to be submitted to senior management, regulators and auditors Hours 45 Job Posting Closing Date: 15/07/2025

You will push the boundaries of state-of-the-art in audio and media technologies. The ideal candidate would have a strong background in deep learning, both in terms of conceptual understanding, as well as practical experience. A core aspect of this role involves being able to keep up to date with the literature, implement, and innovate with the bleeding edge in generative models, self-supervised learning, and multi-modal learning. With the explosion of multi-modal foundation models and the growing capabilities of vision-language and audio-language systems, you will partner closely with Dolby s Applied AI team, which actively pursues the integration of these cutting-edge technologies into next-generation audio and media experiences. You will be able to hit the ground running, innovate, and contribute to impactful projects that leverage the latest advancements in AI. Consequently, experience with audio models, language models, question answering, vision-language models, captioning, etc. would be highly beneficial. Consequently, knowledge or experience in any/all of the following are helpful: Diffusion, autoregressive, or other generative models. Self-supervised, contrastive learning, auto-encoders. Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc. Main responsibilities: Partner closely with other domain experts to refine and execute Dolby s technical strategy in artificial intelligence and machine learning. Use deep learning to create new solutions (including foundation models) and enhance existing applications. Push the state-of-the-art and develop intellectual property. Transfer technology to product groups and draft patent applications. Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions. Requirements Ph.D. in Computer Science or similar field. A strong background in deep learning, both in terms of conceptual understanding, as well as practical experience. Strong knowledge and interest in audio processing. Knowledge in video or text processing is desirable. Strong publication record, with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML). Publications in top domain-specific conferences is desirable (e.g., ACL, CVPR, ICASSP). Good knowledge about current machine learning literature. Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch). Ability to envision new technologies and turn them into innovative products. Good communication and collaboration skills.

Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified Great Place to Work and recognized as one of the best companies to work for in India. We have provided full-stack product development for 110+ startups across the globe building products in the cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space. Our team of 400+ elite software engineers solves hard technical problems while transforming customer ideas into successful products. As a Associate HR Executive, you will play a critical role in managing the HR operations function within the organisation. This role is an excellent opportunity for an enthusiastic individual looking to build a career in Human Resources, providing hands-on experience and exposure to a wide range of HR activities within a dynamic environment. You need to possess basic level of knowledge of HR field and will have to collaborate with cross-functional teams, and external stakeholders to drive HR functions seamlessly. This is a contract-to-hire role, and a permanent position may be offered based on performance. HR Operations Management: Oversee and manage the end-to-end HR operational processes, including but not limited to onboarding, benefits administration, employee data management, employee relations, employee engage

Description What makes us Qlik ? A Gartner Magic Quadrant Leader for 15 years in a row , Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster. We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. The Principal Solution Architect Role Are you ready to take the lead in shaping the future of data and analytics? As a Principal Solution Architect, you ll be the go-to technical expert, guiding some of the largest customers and partners in the India region. You ll be at the forefront of demonstrating how cutting-edge data integration and analytics solutions can drive real business transformation. Collaborating closely with a dynamic Presales team in a flexible, agile environment, you ll have the opportunity to showcase your expertise while working with Sales, Marketing, R&D, Product, Consulting, and Customer Success teams. If youre looking for a role that is engaging, fast-paced, and full of opportunities to make an impact, this is it. What makes this role interesting? Engage with high-profile customers and partners : Lead technical discussions and showcase innovative solutions to help organizations unlock the true power of their data. Drive business success with cutting-edge technology : Leverage Qlik s next-generation data analytics and data integration platform to solve complex business challenges. Be at the forefront of industry trends : Stay ahead of the game by keeping up with the latest advancements in data analytics, as well as the competitive landscape. Collaborate with cross-functional teams : Work closely with internal teams and experts across Sales, Marketing, R&D, and Customer Success to build compelling solutions that resonate with customers. Flexibility and agility : Thrive in an environment that values adaptability, innovation, and dynamic thinking. Here s how you ll be making an impact: Own the technical sales cycle : Become a trusted advisor by guiding customers through technical evaluations, ensuring a seamless journey from exploration to adoption. Showcase innovation through tailored solutions : Deliver compelling presentations and custom demonstrations that address real customer needs and business challenges. Prove value through successful Proof-of-Concepts : Help customers experience the true power of Qlik s platform by leading impactful proof-of-concept engagements. Support business development efforts : Play a key role in driving regional revenue growth by supporting strategic sales initiatives and expanding Qlik s presence in the market. Position solutions for long-term success : Communicate effectively with stakeholders at all levels, from technical teams to senior leadership, ensuring alignment on the value and impact of Qlik s solutions. We re looking for a teammate with: At least 8 years of experience in a presales and/or consulting capacity Strong experience in BI & analytics tools like Qlik Sense etc. Good understanding of SQL & data modeling. Good understanding of Machine Learning tools and its usage such as Python/ R, and other AI/ML and Gen AI technologies Familiarity with cloud platforms and services Good to have Knowledge of Data Integration (ETL), Data Quality (DQ), Data Governance, iPaaS (APIs, micro services, Application Integration) will be plus Excellent communication skills to the business as well as technical audience Highly driven with strong interpersonal skills Track record of developing relationships at technical, commercial, and executive levels throughout large enterprises Ability to work independently and manage multiple complex opportunities. Travel Requirements: Willingness and ability to travel approximately 25 % Ability to travel internationally, if required Th e l ocation for this role is : India - Delhi If youre passionate about helping businesses harness the full potential of their data and want to be part of a team that values expertise, innovation, and collaboration, this is your opportunity to make a real difference. Apply today! More about Qlik and who we are : Find out more about life at Qlik on social: Instagram , LinkedIn , YouTube , and X/Twitter , and to see all other opportunities to join us and our values , check out our Careers Page . What else do we offer? G enuine career progression pathways and mentoring programs C ulture of innovation, technology, collaboration, and openness F lexible, diverse, and international work environment Giving back is a huge part of our culture. Alongside an extra change the world day plus another for personal development, we also highly encourage participation in our Corporate Responsibility Employee Programs If you need assistance applying for a role due to a disability, please submit your request via email to accessibilityta @ qlik.com . Any information you provide will be treated according to Qlik s Recruitment Privacy Notice . Qlik may only respond to emails related to accommodation requests. #L1-APAC

About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe. Key Responsibilities: Extensively work on analyzing source data and developing mapping based on business requirements. Conversant with Data Migration techniques and working with various data formats. Collaborate with the ETL Engineers for developing the mapping and validating the same. Responsible for End to end-to-end data Migration from the Legacy source system to the target applications. Ability to provide Data Insights and suggest data process improvements. Collaborate with the Application Engineering and Product team to understand the data requirements and provide data as per the business requirements. Basic Qualifications: B.E-CS/IT or B.Tech-CS/IT or MCA 3 to 5 years of relevant work experience. Mandatory : Excellent in writing complex SQL queries. Excellent in complex excel functions. In depth knowledge in Data Migration and Data Engineering concepts. Good Analytical Skills. Good communication skills. Good to have: Experience in writing Python scripts. Experience in AWS cloud.

What you get to do in this role Design and build scalable search ranking, indexing and AI-based systems. Integrate user behavior signals, session data, and content metadata to optimize relevance. Strong analytical and quantitative problem-solving ability Collaborate cross-functionally with product, data, and infra teams to deploy experiments and measure impact. Drive & shape architectural decisions that align with long-term scalability and maintainability. Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), Deep reinforcement learning and evaluation benchmarks Design aspects of real-time and batch ML models using embeddings, collaborative filtering, and deep learning. Optimize retrieval, filtering, and ranking algorithms in production search pipelines. Monitor model performance and continuously iterate using A/B testing and offline evaluation metrics Help shape aspect of MLOps and model governance To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools,

Hiring For Associate Professor/Assistant Professor at Lloyd Institute of Engineering & Technology, Greater Noida Stream: • Computer Science Engineering • ECE • Mechanical Engineering Qualifications: Assistant Professor : Masters degree, Bachelors Degree with First class in all the preceding degrees in the appropriate branch of Engineering/ Science, with an exemplary academic record throughout. Associate Professor: Ph.D., Masters degree, Bachelors Degree with First class in all the preceding degrees in the appropriate branch of Engineering/ Science, with an exemplary academic record throughout. Professor : Ph.D, Masters degree, Bachelors Degree with First class in all the preceding degrees in the appropriate branch of Engineering/ Science, with an exemplary academic record throughout. Experience: Assistant Professor - Minimum 1 Years of Experience Associate Professor - Minimum 8 Years of Experience of which 2 years post Ph.D. experience. . Candidate Profile: Prepare and deliver lectures to students and conduct discussion groups Motivate students to be abreast and updated with the latest technological and market developments Prepare, administer and grade examinations, assignments and other Academic Assessments Advise students on course and academic matters and career decisions Direct and mentor students in research programs and project work Conduct research in field of specialisation and publish findings in scholar journals or books Practising and Preparation of Documentations and per the NBA & NAAC Can successfully execute Experimental Learning within the Class/Group Exposure to R& D Projects and consultancy will be preferred. Faculty who can promote Skill based Learning, Entrepreneurship, Innovative & Creative Thinking with Industry Interaction, and other value-added courses will be preferred.

Leadership role in supporting EDAI-CTI-EMEA Ameriprise India team and responsible for leading the advanced data science related work. Work in a matrix organization with data scientists, data engineers and decision science managers, collaborate with cross-functional teams, recommend and implement analytical solutions to support CTI business. Actively participate in strategic planning, project management and hands-on involvement in complex data analysis. - Develop innovative analytical solutions, like segmentation, predictive modeling, simulation modeling, Machine learning, AI/GenAI and optimization - Develop presentation decks and communicate clearly to business leaders in EMEA, US and India - Work with data strategy to ensure data quality and curated data tables that feed in analytical models - Participate in Center of Excellence (CoE), provide guidance across Ameriprise businesses - Demonstrate thought leadership in solving complex business problems - Monitor execution of analytical solutions, offer course correction guidance as needed - Identify business needs and engage senior leaders in EMEA to provide analytical support for business problems. Build business relationships and create presence for EDAI in EMEA

[{"Salary":null , "Remote_Job":false , "Posting_Title":"Senior DevOps Engineer" , "Is_Locked":false , "City":"Bangalore" , "Industry":"Technology" , "Job_Description":" About the Role: Seeking a Senior Data Scientist who is equally comfortable building predictive models and architecting intelligent systems with Generative AI. This role is ideal for someone who thrives on solving complex business problems with the power of data, machine learning, and cutting-edge AI techniques including large language models (LLMs), RAG pipelines, and prompt engineering. You\u2019ll be at the forefront of innovation, driving the design and deployment of scalable AI solutions that power intelligent products, enhance automation, and enable smarter decision-making across the organization. Key Responsibilities: Generative AI & LLMs - Fine-tune and apply large language models (LLMs) for summarization, classification, generation, and dialogue use cases. Design and implement retrieval-augmented generation (RAG) pipelines using vector databases. Develop intelligent agents, agentic workflows and chat-based interfaces that translate natural language into actions or insights. Build multi-agent orchestration frameworks using tools such as LangGraph , AutoGen , or similar for enterprise-grade use cases. Create reusable prompt templates and evaluation strategies to ensure output quality and relevance. Machine Learning & Predictive Analytics - Develop robust ML models for classification, regression, clustering, and time-series forecasting. Apply advanced feature engineering, model evaluation, and explainability techniques. Collaborate with stakeholders to define data-driven solutions aligned with business KPIs. Deployment & MLOps - Lead the full model lifecycle from experimentation to deployment preferably using Azure , Databricks , or equivalent platforms. Monitor model performance, automate retraining, and ensure reliability through MLOps best practices. Data Strategy & Collaboration - Work with data engineers to transform raw data into ML-ready datasets. Collaborate cross-functionally with product managers, developers, and business teams to turn use cases into scalable AI solutions. Mentor junior team members and contribute to AI/ML best practices across the org. Required Skills & Qualifications: 4+ years of experience in data science or machine learning roles. Bachelors, Masters degree, or Ph.D. in Computer Science, Data Science, Statistics, or a related field. Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning) Hands-on experience with Gen AI-related tech stack, including Azure cognitive search, Langchain, HuggingFace, vector DBs and agent frameworks like Autogen. Experience in fine-tuning open-source models like Llama etc. is a bonus. Strong programming skills in advanced python, with experience in SQL and cloud-based data platforms (Azure preferred). Understanding of model governance, versioning, monitoring, and evaluation. Ability to translate business problems into analytical frameworks and actionable models. Strong problem-solving mindset and ability to work in ambiguous, fast-paced environments. Strong storytelling and stakeholder communication skills.

Join our Team About this opportunity: In this role you will report to GFGO Data office - Head of Data & Analytics - Strategy & Engineering and will be contributing to our efforts in both artificial intelligence (AI) and automation technologies, aligning with overall data strategy and business objectives. You will play a key leadership role in transforming raw data into actionable insights that drive business value. You will collaborate closely with cross-functional teams across the organization to identify key business challenges, design and implement innovative data-driven solutions, and effectively communicate your findings to both technical and non-technical audiences. What you will do: Partner with business stakeholders to understand their needs, translate them into technical requirements, and develop data-driven solutions. Communicate complex AI concepts to non-AI stakeholders (Data Domains, Enablers, etc.) and facilitate multi-functional collaboration. Establish and enforce data governance policies and procedures to ensure the ethical and responsible use of data in AI applications. Implement Objective Key Results to measure the performance and impact of AI and automation solutions & regularly report on the progress and success of AI initiatives to the Head of Data &AI Lead and manage complex data science projects from inception to deployment, ensuring successful delivery and impact on business objectives. Develop, implement, and optimize machine learning models and algorithms to solve real-world business problems. Perform data cleaning, wrangling, and transformation to ensure data quality and prepare it for analysis. Conduct exploratory data analysis (EDA) to uncover hidden patterns, trends, and insights within data sets. Develop clear and concise data visualizations to effectively communicate complex findings to both technical and non-technical audiences. Stay up to date on the latest advancements in data science methodologies and tools, and actively seek opportunities to incorporate them into our practices. Mentor and guide junior data scientists within the team, fostering a collaborative and learning environment. The skills you bring: PhD in Statistics, Computer Science, Mathematics, or a related field (or) master s / bachelor s degree with significant work experience. Minimum 5 to 12+ years of experience as a Data Scientist or similar role. Proven track record of successfully leading and delivering data science projects with tangible business impact. Strong expertise in LLM, deep learning, machine learning algorithms (e.g., supervised learning, unsupervised learning, reinforcement learning) and statistical modelling. Proficiency in programming languages such as Python, R, and familiarity with big data processing tools (e.g., Spark, Hadoop) is a plus. Familiarity in developing and deploying E2E AI solutions in cloud platforms (Azure, AWS, GCP) Excellent communication and collaboration skills, with the ability to effectively translate complex technical concepts to a non-technical audience. Strong problem-solving skills and a passion for applying data science techniques to solve real-world problems. Ability to work independently and manage multiple projects simultaneously while meeting deadlines. Why join Ericsson? What happens once you apply? Primary country and city: India (IN) || Bangalore Req ID: 769600

Key Responsibilities: Design, develop, test, and deploy scalable web applications using Python and related technologies. Build responsive and interactive user interfaces using HTML, CSS, and JavaScript frameworks. Develop and maintain automation scripts using Selenium for testing and data extraction. Integrate machine learning models into production environments. Collaborate with Stakeholders, and other developers to deliver high-quality products. Write clean, maintainable, and efficient code following best practices. Troubleshoot, debug, and upgrade existing systems. Participate in code reviews and contribute to team knowledge sharing. Required Skills & Qualifications: 2+ years of professional experience in Python full stack development. Proficiency in Python and frameworks such as Django or Flask. Strong front-end development skills with HTML, CSS, Node.JS and JavaScript (React.js or Vue.js is a plus). Experience with Selenium for automation and testing. Familiarity with Machine Learning concepts and libraries (e.g., scikit-learn, TensorFlow, or PyTorch). Experience with RESTful APIs and third-party integrations. Knowledge of version control systems like Git. Understanding of database systems (SQL and NoSQL). Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with containerization tools like Docker. Exposure to CI/CD pipelines and DevOps practices. Knowledge of Agile/Scrum methodologies. Qualifications Bachelors degree in Computer Science, Information Technology, or a related field.Minimum of 2+ years of experience as a Python Developer.Relevant certifications in Python development or related technologies are a p

Data Engineer Are you passionate about Data and Analytics technologies? Would you like to shape the future of energy technology using data? Join our Digital Technology Team We operate at the heart of the digital transformation of our business. From Digital Engineering to enabling employee success, the Digital Technology team is driven to provide the best products and service. We collaborate with teams to solve complex technical challenges and design future innovations. Partner with the best As a Data Engineering Specialist, you will be part of a data engineering or cross-disciplinary team on supply chain facing development projects. You will be responsible for Designing and Developing complete data engineering solutions. You will be involved in handling large, complex data set to understand the business requirements and deliver solutions. As a Data Engineer, you will be responsible for: Understanding machine learning and other next gen capability with the application. Helping envision the product roadmap Understanding requirements through discussions with business stakeholders and users across the globe, and translate them into data requirements Developing own SQL code satisfying the data requirements given by stakeholders Creating unit test plans & test scenarios Collaborating with other D&A team members to gain insights on best practices, and implement best practices in the commercial area Fuel your passion To be successful in this role you will: Have 3-6 years of professional experience and ability to write SQL, Python Have an experience on new D &A (Data & Analytics) application development and existing application optimization is required (data source identification, mapping, ingestion, modelling and transformation for analytical consumption purposes) Have a good knowledge of agile process and experience in development of technical products. Have an experience in Cloud, Databricks Have an update on Up to date on current technology trends and new technology, brings new ideas to the team. Have a deep passion for innovation and data technology and solid knowledge of linear models, multivariate statistics Work in a way that works for you We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Working flexible hours - flexing the times you work in the day Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other. Working for you Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect: Contemporary work-life balance policies and wellbeing activities Comprehensive private medical care options Safety net of life insurance and disability programs Tailored financial programs Additional elected or voluntary benefits

Role description: You know you re in the right career when work becomes play, when organization purpose aligns with your personal purpose making every day a meaningful day. And your work helps the industry, the environment, and the planet earth in positive ways while you get the opportunities, support and benefits you need. Passionate, and curious and proactive. Purpose Driven and energized. Arcadis is looking for looking for people with a passion to drive and execute Digital to the core of everything we do. We firmly believe in Everything Digital, Digital Everything . We are transforming, we are reimagining the industry, and we are reimagining how communities and nations can help becoming more sustainable places to live for today and future generations. Technology is the core and integral part of what we do, all the way for empowering Arcadians to harnessing power of data and AI/ML for sensors, IIOT and Advanced Drones, the technology teams are Dreaming Big and Delivering on future. As part of our Technology drive, we are looking for on-board talented and passionate Azure data engineers at India Bangalore Location. Role accountabilities: This position will lead the data science efforts the team is setting out to build and will be core to the companys ambitious roadmap India s best AI driven platform. Goes without saying that there will be tremendous responsibility and opportunity for the person to grow. You will wear multiple hats from a data engineer, data analyst, ML engineer to a data scientist for period. Qualifications & Experience: 5-7+ years as a Data Scientist. Familiarity with breadth of AI/ML/DL applications in domains like Computer Vision and Natural Language Processing. Deep understanding of Exploratory Data Analysis, Feature Engineering, Feature Extraction, Feature Importance, Principal Component Analysis Ability to understand raw data and build meaningful data pipelines with it. Knowledge of data management and visualization software and techniques Experience with AI/ML tech-stack from at least one of the major cloud providers like AWS, GCP, Azure Ability to follow latest research in related domains and be able to translate them into prototypes and/or solutions. Experience deploying models to production and edge devices and tuning them on a periodic basis. Excellent scripting and programming skills Sound knowledge of Python and TensorFlow etc. Experience with SQL and NoSQL databases Strong organizational and leadership skills Self-starter, comfortable with ambiguity and at ease working in a fast-paced environment Desire Skills: Engineering Degree from Tier1 colleges with a specialization in Computer Science or master s with major in Statistics or Mathematics. Specialization in AI/ML Prior experience developing Computer Vision/NLP models for Infrastructure business line. Experience with Docker/Kubernetes in hosting and deploying models on scalable clusters with suitable CPU/GPU architectures. Experience with Power Platform (Powe BI, Power Apps and Power Automate) Experience with Hadoop, Apache Spark, Big Query RESPONSIBILITIES: Collaborate with the Product to identify opportunities and influence Product Strategy Engage with cross functional teams to understand their touch points. Drive innovation to introduce machine learning models in Infra business line products and offerings. Help establish processes to enable smooth collaboration between data producers and data consumers. Mentor and coach team members. Articulate model outputs to leadership in a simplified manner ? Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging

WHY GO WITH GREYORANGE? At GreyOrange , we develop leading-edge fulfillment technology that gets the right product to the right place at the right time. In today s age of immediacy, where customers expect to receive their order right away, retailers must take a completely new approach to compete. By leveraging AI, robotics and machine learning, GreyOrange transforms how businesses fulfill orders and keep promises to their customers. GreyOrange is a global company with core operations in North America, Europe, India and Japan. We apply modern thinking and technology to solve today s fulfillment challenges - and we re looking for modern minds to join us. About our solutions GreyOrange technology specializes in bringing warehouses, distribution centers, and fulfillment centers into the future. Our AI-driven GreyMatter Fulfillment Operating System and Ranger robot series are a combined solutions that continuously prioritize decisions and workflows to efficiently orchestrate tasks, time and teams of people and robots for optimum performance across a distribution center. Real-time data is fed into always-solving algorithms that calculate each next-best decision, whether solving for every-day performance or solving for peak period commitments. The result is a fast, agile and precisely tuned operation that equips our customers to perpetually meet the what-when-where expectations of their customers. Senior Engineer - Quality Assurance Responsibilities: Develop and implement quality assurance practices. Create detailed, comprehensive, and well-structured test plans and test cases. Identify, record, and track bugs to closure. Collaborate with cross-functional teams to ensure all aspects of quality are addressed. Should act as first level of debugging for dev and external teams Develop and execute test cases, scripts, plans, and procedures. Identify and report bugs, and work with cross-functional teams to ensure quality deliverables. Requirements: Bachelors or Masters degree in Computer Science or related field. 4+ years of experience in Quality Assurance and Software Testing. Experience with automation tools and testing frameworks. Strong analytical skills and attention to detail. Stay up-to-date with the latest QA technologies and tools. Excellent communication skills and ability to work independently and in a team. Collaborate with product management and software development teams. Proven work experience in software quality assurance. Experience working with various QA methodologies, tools and processes. Experience in writing clear, concise, and comprehensive test plans and test cases. Proficiency in at least one programming language (python/Java) Knowledge of Kubernetes, Linux and Shell Scripts Good understanding of JIRA and Confluence for test and release documentation Equal Opportunity Employer Grey Orange Inc. is an equal employment opportunity employer. The company s policy is not to discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, veteran status, marital status, mental or physical disability, and genetic information, or any other basis protected by applicable law. Grey Orange also prohibits harassment of applicants or employees based on any of these protected categories.

In this role, as a staff data scien tist you will own the technical roadmap and architecture for multiple initiatives wit hin the Conversational AI platform. The responsibilities include: Partner with key business stakeholders and be a thought leader in the Conversational AI space for driving the development and planning of POCs and p roduction AI s olution s . Translate business requirements into strategies, initiatives, and projects. Align these with business strategy and objectives . Drive the execution of the deliverables. Design, build, test and deploy cutting edge AI solutions at scale, impacting millions of customers worldwide. Lead multiple initiatives within the platform, with focus on efficiency, innovation, and leverage. Collaborate with the applied scientists, ML engineers, software engineers and product managers to develop next generation of AI assistant experiences. Be up-to date on industry trends in the latest Generative AI, Speech/Video processing and AI assistant architecture patterns ( e.g. agent chaining, COT, RAG, LLM guardrails etc) Provide technical leadership, guidance and mentorship to highly skilled and motivated data scientists in the team. Lead innovation and efficiency through the complete problem - solving cycle , from approach to methods to development and results. Partner and engage with associates in other regions for delivering the best services to customers around the globe . Proactively participate in the external community to strengthen Walmarts brand and gain insights into industry practices. Drive innovation in the charter and publish research in Rank A+ AI conferences like ICML, AAAI, NIPS, ACL, etc. What You Will Bring Masters with 8 + years or Ph.D. with 6 + years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or related area. Strong track record in a data science tech lead role ( 4 + years), with deployment of large-scale AI services Extensive experience in the design, development, and delivery of AI products with a large customer base, preferably in c onversational AI, speech, vision or machine learning based systems Strong experience in machine learning: Gen AI, NLP, Speech processing, Image processing, Classification models, regression models, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, and experimentation. Extensive e xperience building and deploying GenAI/Deep learning models for real-time inferencing/streaming applications. Deep and demonstrated personal interest in generative AI space including awareness of latest architectural advancements in building generative AI applications. Excellent decision-making skills with the ability to balance conflicting interests in a complex and fast-paced environment. Deep experience in simultaneously leading multiple data science initiatives end to end from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance . Thorough understanding of distributed technologies, public cloud technologies, scalable platforms, ML- platforms and Operational Excellence. Experience working with geographically distributed teams. Business acumen; combining technical vision with business insights. R esearch acumen ; with papers published in top tier AI conferences like AAAI, NIPS, ICML, KDD, etc. Strong e xperience with big data platforms Hadoop (Hive, Map Reduce, HQL, Scala) . Strong e xperience in Python and Java.

5+ years Experience in RPA tools-Automation Anywhere or Power Automate or Power Apps Strong Analytical Skills for problem-solving and decision-making Software Development experience Excellent Communication skills for effective teamwork and client interaction Bachelors degree in Computer Science, Engineering, or a related field Ability to work independently and as part of a team Familiarity with AI and machine learning technologies is beneficial